Carsten Claussen

1.0k total citations
19 papers, 242 citations indexed

About

Carsten Claussen is a scholar working on Molecular Biology, Genetics and Artificial Intelligence. According to data from OpenAlex, Carsten Claussen has authored 19 papers receiving a total of 242 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 3 papers in Genetics and 3 papers in Artificial Intelligence. Recurrent topics in Carsten Claussen's work include Connexins and lens biology (4 papers), Mesenchymal stem cell research (3 papers) and Neurogenesis and neuroplasticity mechanisms (3 papers). Carsten Claussen is often cited by papers focused on Connexins and lens biology (4 papers), Mesenchymal stem cell research (3 papers) and Neurogenesis and neuroplasticity mechanisms (3 papers). Carsten Claussen collaborates with scholars based in Germany, Japan and United Kingdom. Carsten Claussen's co-authors include Sheraz Gul, Akihiko Taguchi, Johannes Boltze, Akie Kikuchi‐Taura, Yuko Ogawa, Kosei Takeuchi, Takafumi Kimura, Yosky Kataoka, Ole Pleß and Andrea Zaliani and has published in prestigious journals such as SHILAP Revista de lepidopterología, Stroke and Stem Cells.

In The Last Decade

Carsten Claussen

17 papers receiving 238 citations

Peers

Carsten Claussen
Ferdinando Clarelli Italy
Michael R. Heaven United States
Priyam Patel United States
Haiping Que China
Shaza S. Issa Russia
Sara Finaurini Italy
Houbao Zhu China
Nimrod Madrer Israel
Takayuki Shirakawa Japan
Narges Rashidi United States
Ferdinando Clarelli Italy
Carsten Claussen
Citations per year, relative to Carsten Claussen Carsten Claussen (= 1×) peers Ferdinando Clarelli

Countries citing papers authored by Carsten Claussen

Since Specialization
Citations

This map shows the geographic impact of Carsten Claussen's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Carsten Claussen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Carsten Claussen more than expected).

Fields of papers citing papers by Carsten Claussen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Carsten Claussen. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Carsten Claussen. The network helps show where Carsten Claussen may publish in the future.

Co-authorship network of co-authors of Carsten Claussen

This figure shows the co-authorship network connecting the top 25 collaborators of Carsten Claussen. A scholar is included among the top collaborators of Carsten Claussen based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Carsten Claussen. Carsten Claussen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

19 of 19 papers shown
1.
Matsumoto, Tomoyuki, Ryosuke Kuroda, Sheraz Gul, et al.. (2025). Changes in metabolism-related RNA expression in circulating white blood cells of aged individual with physical frailty. Aging. 17(5). 1206–1220.
2.
Maeda, Mitsuyo, Yosky Kataoka, Takayuki Nakagomi, et al.. (2024). Direct Water-Soluble Molecules Transfer from Transplanted Bone Marrow Mononuclear Cell to Hippocampal Neural Stem Cells. Stem Cells and Development. 33(17-18). 505–515. 2 indexed citations
3.
Russo, Maria Francesca, Daniel Domingo‐Fernándéz, Andrea Zaliani, et al.. (2024). Curating, Collecting, and Cataloguing Global COVID-19 Datasets for the Aim of Predicting Personalized Risk. Data. 9(2). 25–25.
4.
Claussen, Carsten, et al.. (2024). RNA Analysis of Circulating Leukocytes in Patients with Alzheimer’s Disease. Journal of Alzheimer s Disease. 97(4). 1673–1683. 1 indexed citations
5.
6.
Taguchi, Akihiko, Akiko Takeda, Takayuki Okamoto, et al.. (2023). Activation of neurogenesis in the hippocampus is a novel therapeutic target for Alzheimer's disease. SHILAP Revista de lepidopterología. 1(2). 139–142. 5 indexed citations
7.
Schultz, Bruce, Andrea Zaliani, Stephan Gebel, et al.. (2022). A hybrid approach unveils drug repurposing candidates targeting an Alzheimer pathophysiology mechanism. Patterns. 3(3). 100433–100433. 10 indexed citations
8.
Takeuchi, Kosei, Orie Saino, Yuko Ogawa, et al.. (2022). Increased RNA Transcription of Energy Source Transporters in Circulating White Blood Cells of Aged Mice. Frontiers in Aging Neuroscience. 14. 759159–759159. 8 indexed citations
9.
Gadiya, Yojana, et al.. (2022). SASC: A simple approach to synthetic cohorts for generating longitudinal observational patient cohorts from COVID-19 clinical data. Patterns. 3(4). 100453–100453. 5 indexed citations
10.
Ellinger, Bernhard, Denisa Bojková, Andrea Zaliani, et al.. (2021). A SARS-CoV-2 cytopathicity dataset generated by high-content screening of a large drug repurposing collection. Scientific Data. 8(1). 70–70. 52 indexed citations
11.
Katsen‐Globa, Alisa, André Schulz, Frank Stracke, et al.. (2021). Droplet-based vitrification of adherent human induced pluripotent stem cells on alginate microcarrier influenced by adhesion time and matrix elasticity. Cryobiology. 103. 57–69. 7 indexed citations
12.
Kikuchi‐Taura, Akie, Orie Saino, Kosei Takeuchi, et al.. (2021). Gap Junction-Mediated Cell-Cell Interaction Between Transplanted Mesenchymal Stem Cells and Vascular Endothelium in Stroke. Stem Cells. 39(7). 904–912. 31 indexed citations
13.
Claussen, Carsten, et al.. (2021). Towards Distributed Healthcare Systems – Virtual Data Pooling Between Cancer Registries as Backbone of Care and Research. Fraunhofer-Publica (Fraunhofer-Gesellschaft). 228. 1–8. 3 indexed citations
14.
Witt, Gesa, Oliver Keminer, Rashmi Tandon, et al.. (2020). An automated and high-throughput-screening compatible pluripotent stem cell-based test platform for developmental and reproductive toxicity assessment of small molecule compounds. Cell Biology and Toxicology. 37(2). 229–243. 10 indexed citations
15.
Takeuchi, Kosei, Yuko Ogawa, Akie Kikuchi‐Taura, et al.. (2020). Intravenous Bone Marrow Mononuclear Cells Transplantation in Aged Mice Increases Transcription of Glucose Transporter 1 and Na+/K+-ATPase at Hippocampus Followed by Restored Neurological Functions. Frontiers in Aging Neuroscience. 12. 170–170. 12 indexed citations
16.
Kikuchi‐Taura, Akie, Kosei Takeuchi, Yuko Ogawa, et al.. (2020). Bone Marrow Mononuclear Cells Activate Angiogenesis via Gap Junction–Mediated Cell-Cell Interaction. Stroke. 51(4). 1279–1289. 53 indexed citations
17.
Kikuchi‐Taura, Akie, Kosei Takeuchi, Yuko Ogawa, et al.. (2019). Clot-Derived Contaminants in Transplanted Bone Marrow Mononuclear Cells Impair the Therapeutic Effect in Stroke. Stroke. 50(10). 2883–2891. 10 indexed citations
18.
Rahlff, Janina, Janna Peters, Marta Moyano, et al.. (2016). Short-term molecular and physiological responses to heat stress in neritic copepods Acartia tonsa and Eurytemora affinis. Comparative Biochemistry and Physiology Part A Molecular & Integrative Physiology. 203. 348–358. 26 indexed citations
19.
Miller, Stephen M., Friedrich Eckstein, Ulrich Vogel, et al.. (2000). MR-Signalverhalten des 4 Wochen alten okklusiven Myokardinfarktes im Tierexperiment. RöFo - Fortschritte auf dem Gebiet der Röntgenstrahlen und der bildgebenden Verfahren. 172(6). 527–533. 2 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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